An Examination of Methods Used to Generate Daily Group Scores from Single-Item-Per-Subject Data Collected in Intensive Time-Series Designs

Examined three methods which can be used to pool single-item-per-subject data collected in intensive time-series studies, determining if method of pooling has an effect on subsequent data analysis. Methods examined were based on simple averaging, difficulty weightings of averages, and the applicatio...

Full description

Saved in:
Bibliographic Details
Published inJournal of research in science teaching Vol. 21; no. 3; p. 315
Main Author Monk, John S
Format Journal Article
LanguageEnglish
Published 01.03.1984
Subjects
Data Analysis
Junior High Schools
National Science Foundation
Research Design
Research Methodology
Research Problems
Science Education
Secondary School Science
Time Series Design
Online AccessGet more information

Cover

More Information
Summary:Examined three methods which can be used to pool single-item-per-subject data collected in intensive time-series studies, determining if method of pooling has an effect on subsequent data analysis. Methods examined were based on simple averaging, difficulty weightings of averages, and the application of the Rasch logistic model. (JM)
ISSN:0022-4308
DOI:10.1002/tea.3660210308